Sheamus_1852

Sheamus_1852 t1_j6dihkl wrote

This post is vastly skewed for multiple reasons.

  1. Quite literally every company will show that way if you lump sum when the company starts. You’re basically angel investing then. DCA isn’t made for that kind of investment.

  2. The argument is for mature companies. Track DCA for MSFT, SPY, or any fairly mature and stable security and DCA will come out on top. Post this same time frame for MSFT lump sum v DCA.

  3. With the meme nature around the cult of Tesla, I would never DCA here. It’s not predictable. Elon tweets an insult at someone the stock jumps, he sells shares to buy Twitter then stock plummets. Their share price is only partially indicative of their performance as a company and partially investor sentiment around Elon’s psychosis.

  4. Similar to point 1, choosing the bottom is easy in hindsight. Any idiot can look at a chart and say yeah it’s a no brainer to lump sum 8/1/19. The point of DCA is that you live in reality that it is difficult to predict the best bottom. Quite literally at the peak in 11/2021 people on here were still advocating for lump sum because stocks only go up. Lump sum is a gamblers mentality, DCA is a savers mentality.

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Sheamus_1852 t1_j2wq7jw wrote

The point of the map is to show most viewed sites. Then they threw in extra exclusions. Twitter and Wikipedia cover half of the map. I love the map and the data just questioning the process. Would be best to do multiple maps showing the paring down of heavy volume. What does it look like without filters except search engines, then this map, then a map with Twitter and Wikipedia pared out. I’d assume Amazon would be the dominant one after Twitter and Wikipedia. A progression to see what is most used outside of the biggest site would be interesting.

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Sheamus_1852 t1_j1q7mhh wrote

Females in general have a high rate of perfectionism, it would stand to reason that they have a higher rate of imposter syndrome. I would assume those with imposter syndrome generally focus on what they missed/failed rather than what was right.

I’d also say this is a relatively skewed data set. Software engineering is a highly male dominated area of study (roughly 16% of software engineering degrees are earned by women). There is probably imposter tendencies from a point of gender bias or a need to prove gender strength. I’d be curious to see the difference if you surveyed a nursing program or early childhood education program. You could probably have a more even gender divide if you did a marketing program.

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Sheamus_1852 t1_iri2zrj wrote

Thank you for doing the math, I was being lazy.

Average salary in 1981 was 47,720, 2022 it’s 53,490. 47,720 adjusted for inflation to 2022 would be 155,481. People in 1981 had almost 3x the buying power of people in 2022.

Edit - average salary in 1981 was 10,495. 47,720 is already adjusted for inflation.

There is also the exponential growth law. The greater the number, the bigger the impact of APR changes. A house at 68k’s annual interest. 7.5% = 5100 10% = 6800 Difference of 1700

A house at 348k: 7.5% = 26100 10% = 34800 Difference of 8700

This is why interest is a larger impact now. When houses are 68k going up 2.5% is not a massive impact. That’s $142 on a monthly payment. You can penny pinch to make that happen. At 348k a 2.5% hike is $725 monthly. There’s not many who can penny pinch to get around that. These are in year dollar values because that is how the impact would be felt.

Housing prices have far outpaced wages leaving minor interest rate increases to cause massive swings in profitability. There is always the chance to refinance but we’ve all gotta wait on that.

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